Title :
Superimposed-Training Based Channel Estimation for OFDM Systems
Author :
Xu, Daofeng ; Yang, Luxi
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing
Abstract :
Superimposed training has raised lots of attentions due to its great spectral efficiency and its relatively fast channel estimation algorithms. In this paper, we present channel estimation methods for OFDM system using periodic superimposed training added in frequency domain. At the receiver, channel estimation is done both in time domain (pre-FFT) and frequency domain (post-FFT). We can see the pre-FFT method is relatively robust when SNR is low and data length is short. In addition, peak to average ratio (PAR) problem is analyzed with superimposed training. Simulations show that those methods are effective especially when SNR is lower
Keywords :
OFDM modulation; channel estimation; receivers; time-frequency analysis; OFDM system; channel estimation method; frequency domain; orthogonal frequency division multiplexing; periodic superimposed training; receiver; spectral efficiency; time domain; Blind equalizers; Channel estimation; Channel state information; Frequency domain analysis; Information rates; OFDM; Peak to average power ratio; Receivers; Robustness; Wireless communication; OFDM superimposed training PAR;
Conference_Titel :
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9283-3
DOI :
10.1109/ICICS.2005.1689323
